PURPOSE: Cardiovascular comorbidity anticipates severe progression of COVID-19 and becomes evident by coronary artery calcification (CAC) on low-dose chest computed tomography (LDCT). The purpose of this study was to predict a patient's obligation of intensive care treatment by evaluating the coronary calcium burden on the initial diagnostic LDCT. METHODS: Eighty-nine consecutive patients with parallel LDCT and positive RT-PCR for SARS-CoV-2 were included from three centers. The primary endpoint was admission to ICU, tracheal intubation, or death in the 22-day follow-up period. CAC burden was represented by the Agatston score. Multivariate logistic regression was modeled for prediction of the primary endpoint by the independent variables "Agatston score > 0", as well as the CT lung involvement score, patient sex, age, clinical predictors of severe COVID-19 progression (history of hypertension, diabetes, prior cardiovascular event, active smoking, or hyperlipidemia), and laboratory parameters (creatinine, C-reactive protein, leucocyte, as well as thrombocyte counts, relative lymphocyte count, d-dimer, and lactate dehydrogenase levels). RESULTS: After excluding multicollinearity, "Agatston score >0" was an independent regressor within multivariate analysis for prediction of the primary endpoint (p<0.01). Further independent regressors were creatinine (p = 0.02) and leucocyte count (p = 0.04). The Agatston score was significantly higher for COVID-19 cases which completed the primary endpoint (64.2 [interquartile range 1.7-409.4] vs. 0 [interquartile range 0-0]). CONCLUSION: CAC scoring on LDCT might help to predict future obligation of intensive care treatment at the day of patient admission to the hospital.
PURPOSE: Cardiovascular comorbidity anticipates severe progression of COVID-19 and becomes evident by coronary artery calcification (CAC) on low-dose chest computed tomography (LDCT). The purpose of this study was to predict a patient's obligation of intensive care treatment by evaluating the coronary calcium burden on the initial diagnostic LDCT. METHODS: Eighty-nine consecutive patients with parallel LDCT and positive RT-PCR for SARS-CoV-2 were included from three centers. The primary endpoint was admission to ICU, tracheal intubation, or death in the 22-day follow-up period. CAC burden was represented by the Agatston score. Multivariate logistic regression was modeled for prediction of the primary endpoint by the independent variables "Agatston score > 0", as well as the CT lung involvement score, patient sex, age, clinical predictors of severe COVID-19 progression (history of hypertension, diabetes, prior cardiovascular event, active smoking, or hyperlipidemia), and laboratory parameters (creatinine, C-reactive protein, leucocyte, as well as thrombocyte counts, relative lymphocyte count, d-dimer, and lactate dehydrogenase levels). RESULTS: After excluding multicollinearity, "Agatston score >0" was an independent regressor within multivariate analysis for prediction of the primary endpoint (p<0.01). Further independent regressors were creatinine (p = 0.02) and leucocyte count (p = 0.04). The Agatston score was significantly higher for COVID-19 cases which completed the primary endpoint (64.2 [interquartile range 1.7-409.4] vs. 0 [interquartile range 0-0]). CONCLUSION: CAC scoring on LDCT might help to predict future obligation of intensive care treatment at the day of patient admission to the hospital.
Authors: Jonas Rusnak; Michael Behnes; Thomas Henzler; Nadine Reckord; Nils Vogler; Mathias Meyer; Ursula Hoffmann; Michele Natale; Julia Hoffmann; Sonja Hamed; Kathrin Weidner; Siegfried Lang; Agnibh Mukherji; Holger Haubenreisser; Stefan O Schoenberg; Martin Borggrefe; Thomas Bertsch; Ibrahim Akin Journal: Eur J Med Res Date: 2017-11-16 Impact factor: 2.175
Authors: Francesco Giannini; Marco Toselli; Anna Palmisano; Alberto Cereda; Davide Vignale; Riccardo Leone; Valeria Nicoletti; Chiara Gnasso; Alberto Monello; Marco Manfrini; Arif Khokhar; Alessandro Sticchi; Andrea Biagi; Piergiorgio Turchio; Carlo Tacchetti; Giovanni Landoni; Edda Boccia; Gianluca Campo; Alessandra Scoccia; Francesco Ponticelli; Gian Battista Danzi; Marco Loffi; Margherita Muri; Gianluca Pontone; Daniele Andreini; Elisabetta Maria Mancini; Gianni Casella; Gianmarco Iannopollo; Tommaso Nannini; Davide Ippolito; Giacomo Bellani; Camillo Talei Franzesi; Gianluigi Patelli; Francesca Besana; Claudia Costa; Luigi Vignali; Giorgio Benatti; Nicola Sverzellati; Elisa Scarnecchia; Francesco Paolo Lombardo; Fabio Anastasio; Mario Iannaccone; Paolo Giacomo Vaudano; Alberto Pacielli; Lucio Baffoni; Iljia Gardi; Elisabetta Cesini; Massimiliano Sperandio; Chiara Micossi; Caterina Chiara De Carlini; Cristiano Spreafico; Stefano Maggiolini; Pietro Andrea Bonaffini; Attilio Iacovoni; Sandro Sironi; Michele Senni; Evgeny Fominskiy; Francesco De Cobelli; Aldo Pietro Maggioni; Claudio Rapezzi; Roberto Ferrari; Antonio Colombo; Antonio Esposito Journal: J Cardiovasc Comput Tomogr Date: 2021-03-11
Authors: Tigist W Leulseged; Ishmael S Hassen; Birhanu T Ayele; Yakob G Tsegay; Daniel S Abebe; Mesay G Edo; Endalkachew H Maru; Wuletaw C Zewde; Lydia K Naylor; Dejene F Semane; Menayit T Dresse; Bereket B Tezera Journal: PLoS One Date: 2021-03-15 Impact factor: 3.240
Authors: Jean Guillaume Dillinger; Fatima Azzahra Benmessaoud; Théo Pezel; Sebastian Voicu; Georgios Sideris; Naima Chergui; Lounis Hamzi; Anthony Chauvin; Pierre Leroy; Jean François Gautier; Damien Sène; Patrick Henry Journal: JACC Cardiovasc Imaging Date: 2020-11
Authors: Vitali Koch; Leon D Gruenewald; Moritz H Albrecht; Katrin Eichler; Tatjana Gruber-Rouh; Ibrahim Yel; Leona S Alizadeh; Scherwin Mahmoudi; Jan-Erik Scholtz; Simon S Martin; Lukas Lenga; Thomas J Vogl; Nour-Eldin A Nour-Eldin; Florian Bienenfeld; Renate M Hammerstingl; Christiana Graf; Christof M Sommer; Stefan E Hardt; Silvio Mazziotti; Giorgio Ascenti; Giovanni Antonio Versace; Tommaso D'Angelo; Christian Booz Journal: Acad Radiol Date: 2022-02-28 Impact factor: 5.482